Python supercharged for the fastai library
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Updated
May 29, 2024 - Jupyter Notebook
Python supercharged for the fastai library
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
The fast.ai course notebooks
A Streamlit app to predict what is cooking
19 different types of Sports ball image recognition.
A site that displays up to date COVID-19 stats, powered by fastpages.
Create delightful software with Jupyter Notebooks
Creating a Neural Network to detect Katy Perry and Zooey Deschanel
The fastai deep learning library
Aggregation of jupyter notebooks cover by fastai's 2022 course.
The 3rd edition of course.fast.ai
Twin Neural Network Training with PyTorch and fast.ai and its Deployment with TorchServe on Amazon SageMaker
An Image Recognizer which can classify 15 different Sports Activities.
A Machine learning Model for Martian Terrain Image Segmentation
基于大模型的智能对话客服工具,支持微信、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、知乎等平台接入,可选择 GPT3.5/GPT4.0/ 懒人百宝箱 (后续会支持更多平台),能处理文本、语音和图片,通过插件访问操作系统和互联网等外部资源,支持基于自有知识库定制企业 AI 应用。
An image recognizer that recognizes 20 different shapes of Pasta.
Website for Practical Deep Learning for Coders 2022
Train fastai models faster (and other useful tools)
This GitHub repository represents the 5th-year project (Graduation Project) at the College of IT Engineering, Al-Baath University. The students are: - Mohammed Al-Akhras - Aghiad Elwan Al-Hamwi - Abdul Mohaimen Safaf - Hamdi Diab - Baraa Berkdar
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